Cloud Architectural Lead

3 days ago

Bengaluru, Karnataka, India beBeeCloudEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Senior Cloud Data Engineer

Overview:

We are seeking an experienced Senior Cloud Data Engineer to join our team. As a pivotal member of the data engineering team, you will play a crucial role in designing, implementing, and optimizing data pipelines using cloud-based technologies.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines using Python and cloud-based technologies.
  • Implement Extract, Transform, Load (ETL) processes to seamlessly move data from diverse sources into our cloud-based data warehouse.
  • Collaborate with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements.
  • Ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.

Required Skills and Qualifications:

  • Proficiency in Python for data engineering tasks, scripting, and automation.
  • Extensive experience with data engineering frameworks like distributed data processing.
  • Understanding and hands-on experience with workflow management tools like Apache Airflow.
  • In-depth knowledge and hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
  • Familiarity with cloud-native services for data processing, storage, and analytics.
  • Proven expertise in designing and implementing Extract, Transform, Load (ETL) processes.
  • Proficient in SQL with experience in working with relational databases (e.g., PostgreSQL, MySQL) and cloud-based database services.
  • Strong understanding of data modeling principles and experience in designing effective data models.
  • Familiarity with version control systems, such as Git, for tracking changes in code and configurations.
  • Experience using collaboration and project management tools for effective communication and project tracking.
  • Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
  • Ability to implement monitoring solutions and troubleshoot issues in data pipelines.
  • Experience in implementing data quality checks and validation processes.
  • Familiarity with agile development methodologies and practices.

Desirable Soft Skills:

  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication skills, both written and verbal.
  • Ability to work collaboratively in a cross-functional team environment.
  • Attention to detail and commitment to delivering high-quality solutions.

How to Apply:

If you possess the required technical skills and are passionate about leveraging cloud technologies for data engineering, please submit your resume and a cover letter highlighting your technical expertise and relevant experience.

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